Structural bioinformatics in post-genomic era

Bioinformatics in the post-genomic era.

Recent years saw a dramatic increase in genomic and proteomic data in public archives. Now with the complete genome sequences of human and other species in hand, detailed analyses of the genome sequences will undoubtedly improve our understanding of biological systems and at the same time require sophisticated bioinformatic tools. Here we review what computational challenges are ahead and what ...

Bioinformatics In The Post Genomic Era Genome Transcriptome Proteome And Information Based Medicine

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Crystallography in the post-genomic era

X-ray crystallography is the most powerful technique to determine the three-dimensional structure of proteins. Several steps are required to solve the structure of proteins including cloning and expression of the gene, protein purification, crystallization, X-rays diffraction, data collection and structure determination. The vast amount of data generated by genomic studies has accelerated the d...

Ophthalmology in the post-genomic era.

Class discovery in the post genomic era

This chapter describes the basic concepts and application of a family of methods for class discovery, generically known as clustering, applied to microarray data. Although many clustering methods exist, only a few have been extensively used for microarray data analysis (among them I will revise hierarchical clustering, k-means, SOM, SOTA and model-based clustering). Key aspects in clustering su...